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Grouping Multidimensional Data: Recent Advances in Clustering Jacob Kogan 2006 edition
Grouping Multidimensional Data: Recent Advances in Clustering
Jacob Kogan
Clustering can be used as an independent data mining task to discern intrinsic characteristics of data, or as a preprocessing step with the clustering results then used for classification, correlation analysis, or anomaly detection. Kogan and his co-editors have put together recent advances in clustering large and high-dimension data.
268 pages, 36 black & white tables, biography
| Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 16 december 2005 |
| ISBN13 | 9783540283485 |
| Uitgevers | Springer-Verlag Berlin and Heidelberg Gm |
| Pagina's | 268 |
| Afmetingen | 155 × 235 × 20 mm · 539 g |
| Taal en grammatica | Duits |
| Uitgever | Kogan, Jacob |
| Uitgever | Nicholas, Charles |
| Uitgever | Teboulle, Marc |